Browsing Data Science Institute (Scholarly Articles) by Title
Now showing items 28-47 of 69
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Improved edge detection algorithm for brain tumor segmentation
(Elsevier, 2015-08-21)Image segmentation is used to separate objects from the background, and thus it has proved to be a powerful tool in bio-medical imaging. In this paper, an Improved Edge Detection algorithm for brain-tumor segmentation is ... -
Improving data workflow systems with cloud services and use of open data for bioinformatics research
(Oxford University Press, 2017-04-16)Data workflow systems (DWFSs) enable bioinformatics researchers to combine components for data access and data analytics, and to share the final data analytics approach with their collaborators. Increasingly, such systems ... -
Infrastructure for Dynamic Knowledge Integration -- Automated Biomedical Ontology Extension Using Textual Resources
(Elsevier, 2008)We present a novel ontology integration technique that explicitly takes the dynamics and data-intensiveness of e-health and biomedicine application domains into account. Changing and growing knowledge, possibly contained ... -
Integrating findings of traditional medicine with modern pharmaceutical research: the potential role of linked open data
(BioMed Central, 2010-12)One of the biggest obstacles to progress in modern pharmaceutical research is the difficulty of integrating all available research findings into effective therapies for humans. Studies of traditionally used pharmacologically ... -
Interlinking Developer Identities Within and Across Open Source Projects: The Linked Data Approach
(2013)[no abstract available] -
LargeRDFBench: A billion triples benchmark for SPARQL endpoint federation
(Elsevier, 2018-01-12)Gathering information from the distributed Web of Data is commonly carried out by using SPARQL query federation approaches. However, the fitness of current SPARQL query federation approaches for real applications is difficult ... -
Learning from Mistakes Results in Increase of Corporate Value
(Kassel University Press GmbH, 2013)In the paper we approach the issue of learningfrom our mistakes from different schools of thought andwith the use of different epistemological metaphors such asthe intellectual capital. We pose emphasis to the relevance ... -
Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series
(2017-03-13)The large number of tweets generated daily is providing policy makers with means to obtain insights into recent events around the globe in near real-time. The main barrier for extracting such insights is the impossibility ... -
Linked Data Driven Information Systems as an Enabler for Integrating Financial Data
(IGI Global, 2012)With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information providers will increasingly need agile information integration ... -
Linked Data Driven Information Systems as an enabler for Integrating Financial Data
(IGI Global, 2011)With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information providers will increasingly need agile information ... -
A linked data visualiser for finite element biosimulations
(World Scientific Publishing, 2016)Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework to simulate dynamic biological ... -
MixedEmotions: An open-source toolbox for multi-modal emotion analysis
(IEEE, 2018-01-25)Recently, there is an increasing tendency to embed the functionality of recognizing emotions from the user generated contents, to infer richer profile about the users or contents, that can be used for various automated ... -
One size does not fit all: querying web polystores
(IEEE, 2019-01-17)Data retrieval systems are facing a paradigm shift due to the proliferation of specialized data storage engines (SQL, NoSQL, Column Stores, MapReduce, Data Stream, and Graph) supported by varied data models (CSV, JSON, ... -
Perk-dependent repression of miR-106b-25 cluster is required for ER stress-induced apoptosis
(2012)Activation of the unfolded protein response sensor PKR-like endoplasmic reticulum kinase (Perk) attenuates endoplasmic reticulum (ER) stress levels. Conversantly, if the damage is too severe and ER function cannot be ... -
Privacy, security and policies: A review of problems and solutions with semantic web technologies
(IOS Press, 2018)Semantic Web technologies aim to simplify the distribution, sharing and exploitation of information and knowledge, across multiple distributed actors on the Web. As with all technologies that manipulate information, there ... -
Quality-driven resource-adaptive data stream mining?
(IEEE / ACM, 2011-01)Data streams have become ubiquitous in recent years and are handled on a variety of platforms, ranging from dedicated high-end servers to battery-powered mobile sensors. Data stream processing is therefore required to work ... -
A random walk model for entity relatedness
(Springer Verlag, 2018-10-31)Semantic relatedness is a critical measure for a wide variety of applications nowadays. Numerous models, including path-based, have been proposed for this task with great success in many applications during the last few ... -
RDFS & OWL Reasoning for Linked Data
(na, 2013)Linked Data promises that a large portion of Web Data will be usable as one big interlinked RDF database against which structured queries can be answered. In this lecture we will show how reasoning - using RDF Schema (RDFS) ... -
The Role of Community-Driven Data Curation for Enterprises
(Springer US, 2010)With increased utilization of data within their operational and strategic processes, enterprises need to ensure data quality and accuracy. Data curation is a process that can ensure the quality of data and its fitness ...